San Francisco Crime Classification

Published 13 Jul 2016 in cs.LG | (1607.03626v1)

Abstract: San Francisco Crime Classification is an online competition administered by Kaggle Inc. The competition aims at predicting the future crimes based on a given set of geographical and time-based features. In this paper, I achieved a an accuracy that ranks at top %18, as of May 19th, 2016. I will explore the data, and explain in details the tools I used to achieve that result.

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Authors (1)

Yehya Abouelnaga

Citations (6)

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